Automatic Speech Recognition
NeMo
Finnish
asr
speech-recognition
canary-v2
kenlm
finnish
Eval Results (legacy)
Instructions to use RASMUS/Finnish-ASR-Canary-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use RASMUS/Finnish-ASR-Canary-v2 with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("RASMUS/Finnish-ASR-Canary-v2") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
| int main() | |
| { | |
| ThreadPool pool(4); | |
| std::vector< std::future<int> > results; | |
| for(int i = 0; i < 8; ++i) { | |
| results.emplace_back( | |
| pool.enqueue([i] { | |
| std::cout << "hello " << i << std::endl; | |
| std::this_thread::sleep_for(std::chrono::seconds(1)); | |
| std::cout << "world " << i << std::endl; | |
| return i*i; | |
| }) | |
| ); | |
| } | |
| for(auto && result: results) | |
| std::cout << result.get() << ' '; | |
| std::cout << std::endl; | |
| return 0; | |
| } | |